Overview

These two-volume set IFIP AICT 717 and 718 constitutes the refereed post-conference proceedings of the 7th International Conference on Computational Intelligence in Data Science, ICCIDS 2024, held in Chennai, India, during February 21–23, 2024. The 63 full papers and 9 short papers were presented in these proceedings were carefully reviewed and selected from 259 submissions. The conference papers are organized in topical sections on: Part I - Applications of AI/ML in Natural Language Processing; and Applications of AI/ML in Image Processing. Part II - Applications of AI/ML in KDM, Cloud Computing & Security; Data Analytics; and Applications of ML.

Full Product Details

Author:   Mieczyslaw Lech Owoc ,  Felix Enigo Varghese Sicily ,  Kanchana Rajaram ,  Prabavathy Balasundaram
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
ISBN:  

9783031699887

ISBN 10:   3031699882
Pages:   518
Publication Date:   31 August 2025
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

.- Applications of AI/ML in KDM, Cloud Computing & Security. .- Healthify App Using Blockchain with Cloud. .- A Systematic Review of Various Deep Learning Techniques for Network Intrusion Detection System. .- Intrusion Detection System Trends: An Overview of Current Advances in IoV & Communication Networks. .- Automation Xtreme -A web automation AI Tool. .- Defending the Digital Frontier URL-based Phishing Detection Extension. .- Guarding the Digital Frontier: A Logistic Regression Approach to Malware Detection. .- Hybrid Efficient IDS Against Adversarial Attacks in IoT Networks. .- Data Analytics. .- Real-Time Soil Moisture Sensing using Arduino for Automated Plant Irrigation System. .- Campus Placement and Salary Prediction: Leveraging Machine Learning for Enhanced Employability. .- Exploring Corrosion Detection: Deep Learning and Ensemble Approaches Analysis. .- Comic Generation using AI - A Review. .- Residential Price Analysis Using Machine Learning. .- AI-Driven Interviewer: Enhancing Interview Experience Through Conversational AI. .- Human Abnormal Activity Detection. .- Campus Drive Portal on Career Advancement for College Students. .- Deception Detection using Random Forest and KNN. .- Analyzing Meteorological Data for Curated Music Selection. .- Remote and Centralized Billing System using Cloud Computing. .- Information Extraction using RPA and Generative AI from Unstructured Documents: A case of Invoices. .- Harnessing Machine Learning-Based Classification Techniques to Optimize Crop and Fertilizer Recommendations. .- Cyberbullying Predictive Analysis on Twitter data with Multi-Model Supervised Technique. .- Heart Attack Prediction Using Big Data Analytics. .- Bloom’s Taxonomy based Question Analysis for Personalized Learning. .- Snowfall Forecasting with Enhanced Accuracy: Leveraging Multi-Class SVM for Meteorological Predictions. .-Crop Irrigation Advisory system using Federated Logistic Regression. .- Supply Chain Management Using Optimzation and Machine Learning Techniques. .- Cricket Forecast: Unraveling Future Matches’ Outcomes. .- Deep Learning Ensemble for Diabetes Prediction: Integrating LSTM, DCNN, and SMOTE for Enhanced Risk Assessment. .- Optimizing Hyperspectral Image Classification through Swin Transformer Integration and CNN Feature Extraction. .- Efficient Task allocation with Mentorship Mapping in Crowd sourcing Platforms. .- Applications of ML. .- Designing an Enhanced Swarm-Based Optimization Algorithm for High Utility Itemsets Mining. .- Bus Route Tracking System. .- Sentiment Analysis of Various Ride Sharing Applications Reviews: A Comparative Analysis between Deep Learning and Machine Learning Algorithms. .- Quantum-DL Integration for Precise Remote Sensing Image Classification. .- Review on Biomedical Informatics through the Versatility of Generative Adversarial Networks. .- Machine Learning Powered Nutritional Guidance System using Personalized Nutritional and Digital Health Record. .- Predicting Hospital Length of Stay Using Light Gradient Boosting Machine Regression. .- Electroencephalogram Based Stress Detection Using Machine Learning.

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